AI doesn’t add up if you neglect the mathematicians
https://www.ft.com/content/b05318d1-12e5-49f1-9950-47e8b0f809ae
Modern neural networks work by, in effect, multiplying tensors — a more general version of matrices and vectors that many people will be familiar with — over and over again. Feature extraction in machine learning is done using the machinery of eigenvectors and eigenvalues. Creating a model out of data quickly and cheaply is a constrained optimization problem which is predicated on advanced differential calculus. And so on and so on.
https://www.ft.com/content/b05318d1-12e5-49f1-9950-47e8b0f809ae
Modern neural networks work by, in effect, multiplying tensors — a more general version of matrices and vectors that many people will be familiar with — over and over again. Feature extraction in machine learning is done using the machinery of eigenvectors and eigenvalues. Creating a model out of data quickly and cheaply is a constrained optimization problem which is predicated on advanced differential calculus. And so on and so on.